jacooba / hyperLinks
Code for the papers Hypernetworks in Meta-Reinforcement Learning (Beck et al., 2022) and Recurrent Hypernetworks are Surprisingly Strong in Meta-RL (Beck et al., 2023)
☆15Updated last year
Alternatives and similar repositories for hyper
Users that are interested in hyper are comparing it to the libraries listed below
Sorting:
- Challenging Memory-based Deep Reinforcement Learning Agents☆105Updated last year
- Conservative Q learning in Jax☆56Updated 2 years ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆62Updated last year
- Synthetic Experience Replay☆107Updated last year
- ☆19Updated 6 months ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆18Updated last year
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆79Updated last month
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆17Updated 2 weeks ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆118Updated 3 years ago
- ☆112Updated 9 months ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆29Updated 7 months ago
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆110Updated 2 years ago
- Transformer-based World Models☆86Updated 2 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆154Updated 2 years ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆128Updated 5 months ago
- Deep Hierarchical Planning from Pixels☆110Updated 2 years ago
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆22Updated last year
- Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023☆50Updated 6 months ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆21Updated last year
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 5 years ago
- ☆52Updated 2 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆112Updated last year
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- ReDo: The Dormant Neuron Phenomenon in Deep Reinforcement Learning (pytorch)☆32Updated last year
- Skeleton for scalable and flexible Jax RL implementations☆92Updated 2 years ago